Profile
Too many AI initiatives stall not because the technology fails, but because no one on the team can translate a business problem into a product requirement. That gap — between what a model can do and what a customer actually needs — is exactly where this 15-hour module begins. It is the first step in a four-module Advanced Certificate, and it is built for working professionals in Singapore who are asked to lead or contribute to AI projects without a formal engineering background.
You will spend the time learning how to scope an AI product from the outset: defining user problems, setting success metrics, and mapping data and model requirements before a single line of code is written. The curriculum grounds you in the realities of the digital economy, where AI products must earn user trust, comply with data regulations, and survive contact with messy, incomplete data. Expect to work through case studies and short exercises that mirror the kinds of decisions product managers and business stakeholders actually make.
The module runs for 15 hours in English, which suits busy working adults who need to fit learning around a job. It is deliberately compressed — no filler, no abstract theory divorced from practice. Instead, each session moves between concept and application, so you leave with a framework you can apply to your own organisation’s pipeline. You are not expected to arrive as a programmer; the focus is on product thinking, not coding syntax.
For those concerned about cost, the course fee is $2,000, with subsidies bringing the out-of-pocket amount down to $600. That places it within the mid-range fee band common to SSG-supported courses, and it is registered under reference TGS-2024051113, which means the provider is a recognised training organisation. Funding eligibility depends on your profile and citizenship status, so it is worth checking before enrolment.
Professionals who complete this first module gain a clearer lens for deciding which AI ideas are worth pursuing and which should be abandoned early. That ability to kill bad projects fast — and shape good ones properly — is often what separates AI initiatives that deliver value from those that quietly die after six months. If your organisation has been circling AI without committing, this course offers a practical, structured way in.